Anomaly detection is the process of identifying events or patterns that differ from expected behavior. Anomaly detection can range from simple outlier detection to complex machine learning algorithms ...

Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed methods ...

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...

Explore strategies for managing combinatorial explosion in high dimensional anomaly detection to enhance data observability ...

Security teams face an impossible choice: set thresholds too sensitive and drown in false positives, or set them too loose and miss real attacks. Traditional monitoring systems force this trade-off ...